Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Sweden
- Germany
- Norway
- France
- Denmark
- Netherlands
- Spain
- United Kingdom
- Austria
- Belgium
- Poland
- China
- Luxembourg
- Portugal
- Switzerland
- Finland
- Italy
- Singapore
- Canada
- Czech
- Romania
- Saudi Arabia
- Cyprus
- Ireland
- Lithuania
- Worldwide
- Brazil
- Slovenia
- United Arab Emirates
- Andorra
- Bulgaria
- Europe
- Hong Kong
- Japan
- Latvia
- Taiwan
- 27 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Biology
- Science
- Engineering
- Economics
- Mathematics
- Chemistry
- Materials Science
- Humanities
- Linguistics
- Earth Sciences
- Physics
- Psychology
- Education
- Environment
- Business
- Electrical Engineering
- Arts and Literature
- Law
- Design
- Philosophy
- Sports and Recreation
- 13 more »
- « less
-
together with Jendrik Seipp, Senior Associate Professor in Artificial Intelligence at LiU. The research projects for the advertised position will be in the areas of automated planning and machine learning
-
tools for the design, analysis and evaluation of socially intelligent systems that aim to collaborate with humans in learning and decision-making tasks, often with the aim of improving health. Visit https
-
about the lab and their work can be found by visiting https://sarvestanilab.com/ About the Postdoctoral Scientist role: We are seeking a motivated and creative Postdoctoral Scientist to join our dynamic
-
by ARPES, pursue scalable wafer-scale moiré epitaxy, develop epitaxial superconductors for quantum computing and integrate machine learning for automated high-throughput MBE. We are particularly
-
at the intersection of educational data science, AI in education, and the learning sciences, with additional advisory support from faculty and researchers across learning sciences, computer science, machine learning
-
systems at various scales, for example using ab initio electronic structure methods like density-functional theory, developing interatomic potentials with various methodologies including machine learning
-
to the topic, including food safety, microbiology, computational biology, machine learning, artificial intelligence, data science, or other related scientific fields. Familiarity with data-driven
-
, machine learning, statistics and programming skills (R and Python) is preferred. Record of peer-reviewed publications. Knowledge in one or more of the following areas is desirable: single-cell profiling
-
Join and help us to derive global forest biomass data from the European Space Agency’s Biomass satellite mission. If you have interests in remote sensing, machine learning and forests, this is the
-
of the postdoctoral scholars. https://postdoc.ucsd.edu/postdocs/px-contract.html Qualifications Basic qualifications (required at time of application) Doctorate degree or equivalent terminal degree in Engineering